This research focuses on the application of three soft computing techniques including
Minimax Probability Machine Regression (MPMR), Particle Swarm Optimization based …

Alors que notre compréhension des sols s' est constamment améliorée, les caractéristiques
de leur variabilité peuvent maintenant être mises en lumière. Ce fait a pratiquement changé …

Traditional design methods of bearing capacity of shallow foundations are deterministic in
the sense that they do not explicitly consider the inherent uncertainty associated with the …

Bearing capacity of shallow foundation is a challenging problem for geotechnical engineers.
The difficulty comes from multiple sources of uncertainty. Only the uncertainties in Soil …

In this paper, a probabilistic distribution for the bearing capacity and safety factor of shallow
foundations is proposed to account for the variability and randomness of the soil strength …

Conventional shallow foundation design adopts a deterministic approach where
representative soil parameters are chosen to calculate the ultimate bearing capacity …

A reliability based method was used to design and analyse shallow foundations using first-
order Taylor series approximation. The computer program Mathcad was used to facilitate all …

Founders and leaders of geotechnical profession contributed extensively on the importance
of recognizing uncertainties and considering them appropriately in the design decisions …

A probabilistic study of the analysis and design of rigid shallow foundations resting on sandy
soils is presented for a range of expected variations of soil properties. Simplified …

Focusing on the rapid assessment of the reliability of airport runway soft soil foundation,
taking the soft soil foundation preloading method as the research object, we established the …